Video Classification and Retrieval with the Informedia Digital Video Library System A. Hauptmann, R. Yan, Y. Qi, R. Jin, M. Christel, M. Derthick, M.-Y. Chen, R. Baron, W.-H. Lin, and T. D. Ng. Carnegie Mellon University

First Page		Document Content
Date: 2003-02-13 11:56:37 Information retrieval Image search Natural language processing Machine learning Artificial intelligence applications Content-based image retrieval Image retrieval Text Retrieval Conference Color histogram Computer vision Information science Science		Video Classification and Retrieval with the Informedia Digital Video Library System A. Hauptmann, R. Yan, Y. Qi, R. Jin, M. Christel, M. Derthick, M.-Y. Chen, R. Baron, W.-H. Lin, and T. D. Ng. Carnegie Mellon University Add to Reading List Source URL: trec.nist.gov Download Document from Source Website File Size: 2,04 MB Share Document on Facebook

	10th International Society for Music Information Retrieval Conference (ISMIRAUGMENTING TEXT-BASED MUSIC RETRIEVAL WITH AUDIO SIMILARITY P. Knees1 , T. Pohle1 , M. Schedl1 , D. Schnitzer1,2 , K. Seyerlehner1 , and DocID: 1rFCG - View Document
	Pitt at TREC 2013: Different Effects of Click-through and Past Queries on Whole-session Search Performance Jiepu Jiang * School of Information Sciences, University of Pittsburgh DocID: 1rtKX - View Document
	From Puppy to Maturity: Experiences in Developing Terrier Craig Macdonald, Richard McCreadie, Rodrygo L.T. Santos, and Iadh Ounis School of Computing Science University of Glasgow DocID: 1rmWa - View Document
	Genome Informatics 15(2): 42–General-Purpose Search Techniques for Genomic Text Abhijit Chattaraj DocID: 1rjXX - View Document
	Efficiency vs. Effectiveness in Terabyte-Scale Information Retrieval Stefan B¨uttcher and Charles L. A. Clarke School of Computer Science University of Waterloo Waterloo, Ontario, Canada DocID: 1r4el - View Document